Sujit Kumar Dash

568 total citations · 1 hit paper
30 papers, 365 citations indexed

About

Sujit Kumar Dash is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sujit Kumar Dash has authored 30 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sujit Kumar Dash's work include Energy Load and Power Forecasting (6 papers), AI in cancer detection (5 papers) and Natural Antidiabetic Agents Studies (4 papers). Sujit Kumar Dash is often cited by papers focused on Energy Load and Power Forecasting (6 papers), AI in cancer detection (5 papers) and Natural Antidiabetic Agents Studies (4 papers). Sujit Kumar Dash collaborates with scholars based in India, Singapore and United States. Sujit Kumar Dash's co-authors include Srikanta Patnaik, Sashikanta Prusty, P.K. Dash, Ranjeeta Bisoi, Jyotirmayee Naik, Gouri Kumar Dash, Sumanta Mondal, Sukumar Mishra, A.C. Liew and Durga Madhab Kar and has published in prestigious journals such as Renewable Energy, Neural Computing and Applications and Engineering Applications of Artificial Intelligence.

In The Last Decade

Sujit Kumar Dash

24 papers receiving 345 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

2022 137 citations Sashikanta Prusty, Srikanta Patnaik et al. Frontiers in Nanotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sujit Kumar Dash India	9	139	129	35	31	29	30	365
K. Karthick India	13	144 1.0×	97 0.8×	37 1.1×	107 3.5×	52 1.8×	49	510
Gültekin Işık Türkiye	9	46 0.3×	140 1.1×	34 1.0×	16 0.5×	19 0.7×	21	350
Mankun Zhao China	7	185 1.3×	219 1.7×	17 0.5×	20 0.6×	23 0.8×	38	401
Xuehan Wu China	7	98 0.7×	123 1.0×	9 0.3×	13 0.4×	58 2.0×	15	342
Hoon Kang South Korea	9	78 0.6×	121 0.9×	6 0.2×	31 1.0×	116 4.0×	34	345
Enas Elgeldawi Egypt	7	32 0.2×	153 1.2×	18 0.5×	33 1.1×	7 0.2×	13	505
Pu Zhang China	8	212 1.5×	93 0.7×	5 0.1×	8 0.3×	67 2.3×	32	415
Heba Al-Hiary Jordan	11	74 0.5×	250 1.9×	7 0.2×	22 0.7×	55 1.9×	25	414
Mashael M. Asiri Saudi Arabia	11	50 0.4×	88 0.7×	16 0.5×	22 0.7×	11 0.4×	38	273
M. A. El-Dosuky Egypt	8	48 0.3×	58 0.4×	16 0.5×	13 0.4×	9 0.3×	30	219

Countries citing papers authored by Sujit Kumar Dash

Since Specialization

Citations

This map shows the geographic impact of Sujit Kumar Dash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sujit Kumar Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Kumar Dash more than expected).

Fields of papers citing papers by Sujit Kumar Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit Kumar Dash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sujit Kumar Dash. The network helps show where Sujit Kumar Dash may publish in the future.

Co-authorship network of co-authors of Sujit Kumar Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Kumar Dash. A scholar is included among the top collaborators of Sujit Kumar Dash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sujit Kumar Dash. Sujit Kumar Dash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dash, Sujit Kumar, et al.. (2025). High Speed Low Power 16×16 Dadda Multiplier by Utilizing Reversible Gates. 1–5.

Prusty, Sashikanta, et al.. (2024). Predicting cervical cancer risk probabilities using advanced H20 AutoML and local interpretable model-agnostic explanation techniques. PeerJ Computer Science. 10. e1916–e1916. 5 indexed citations

Prusty, Sashikanta, et al.. (2023). IMPACT OF COVID-19 ON BREAST CANCER SCREENING PROGRAM (BCSP) IN INDIA. Indian Journal of Computer Science and Engineering. 14(3). 416–428.

Prusty, Sashikanta, et al.. (2023). EPD: an integrated modeling technique to classify BC. 651–655.

Prusty, Sashikanta, Srikanta Patnaik, & Sujit Kumar Dash. (2023). EfficientNetB7: To predict lung and colon cancer at early stages. AIP conference proceedings. 2819. 30013–30013. 2 indexed citations

Prusty, Sashikanta, et al.. (2023). SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer. Engineering Applications of Artificial Intelligence. 129. 107630–107630. 6 indexed citations

Dash, Sujit Kumar, et al.. (2023). MODERN ANALYTICAL METHODS FOR STANDARDIZATION OF CLASSICAL POLY HERBAL FORMULATIONS: A REVIEW. 1 indexed citations

Prusty, Sashikanta, et al.. (2022). Designing a Pipeline for Predicting Hypothyroidism with Different Machine Learning Classifiers. 1963. 1–5.

Prusty, Sashikanta, Srikanta Patnaik, & Sujit Kumar Dash. (2022). Differentiating S1, S2 Noises from Abnormal Heart Sounds Generated in Closure of Atrioventricular and Semilunar Valves using MFCC and LSTM. 208–213. 1 indexed citations

10.

Kar, Durga Madhab, et al.. (2022). Hypoglycemic activity of Methanol Fraction of Solanum torvum (Swartz) fruits in normal and Streptozotocin induced Hyperglycemic rat models. Research Journal of Pharmacy and Technology. 1443–1448. 1 indexed citations

11.

Prusty, Sashikanta, Sujit Kumar Dash, & Srikanta Patnaik. (2022). A Novel Transfer Learning Technique for Detecting Breast Cancer Mammograms Using VGG16 Bottleneck Feature. ECS Transactions. 107(1). 733–746. 18 indexed citations

12.

Prusty, Sashikanta, Srikanta Patnaik, & Sujit Kumar Dash. (2022). SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer. Frontiers in Nanotechnology. 4. 137 indexed citations breakdown →

13.

Prusty, Sashikanta, Srikanta Patnaik, & Sujit Kumar Dash. (2022). ResNet50V2: A Transfer Learning Model to Predict Pneumonia with chest X-ray images. 208–213. 6 indexed citations

14.

Dash, Sujit Kumar, et al.. (2020). Role of Artificial Intelligence in Market Decision-Making: Knowledge Based Framework. SSRN Electronic Journal.

15.

Naik, Jyotirmayee, Sujit Kumar Dash, P.K. Dash, & Ranjeeta Bisoi. (2017). Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network. Renewable Energy. 118. 180–212. 95 indexed citations

16.

Dash, Sujit Kumar, et al.. (2015). Short-term electric load forecasting using Extreme Learning Machine - a case study of Indian power market. 961–966. 11 indexed citations

17.

Dash, Sujit Kumar, et al.. (2015). Determination of Air Quality Index Status near Bileipada, Joda Area of Keonjhar, Odisha, India. Indian Journal of Science and Technology. 8(35). 10 indexed citations

18.

Dash, Sujit Kumar, et al.. (2013). Anti-inflammatory activity of Aponogeton natans (Linn.) Engl. and Krause in different experimental animal models. Der pharmacia lettre. 5(1). 136–140. 2 indexed citations

19.

Dash, Sujit Kumar, et al.. (2012). Pharmacognostical and phytochemical investigation ofButea frondosa Linn. bark. Der pharmacia lettre. 4(2). 475–482. 1 indexed citations

20.

Dash, Gouri Kumar, et al.. (2010). STUDIES ON GLUCOSE LOWERING EFFICACY OF THE ANTHOCEPHALUS CADAMBA (ROXB.) MIQ. ROOTS.. International Journal of Pharma and Bio Sciences. 1(2). 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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